high performance computing on graphics processing units: hgpu.org

hgpu.org » Tesla C2070

Auto-Tunning of Data Communication on Heterogeneous Systems

Marc Jorda, Ivan Tanasic, Javier Cabezas, Lluis Vilanova, Isaac Gelado, Nacho Navarro

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla C2050, Tesla C2070, Tesla M2090

June 17, 2013 by hgpu

Parallelizing General Histogram Application for CUDA Architectures

Ugljesa Milic, Isaac Gelado, Nikola Puzovic, Alex Ramirez, Milo Tomasevic

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, Search strategies, Tesla C2070, Tesla K20

June 17, 2013 by hgpu

GPU-Optimized Hybrid Neighbor/Cell List Algorithm for Coarse-Grained Molecular Dynamics Simulations

Andrew J. Proctor

View

Download (PDF)

Tags: Algorithms, Biomolecules, Computer science, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Tesla C2070, Thesis

June 16, 2013 by hgpu

Parallelization & checkpointing of GPU applications through program transformation

Lizandro Damian Solano-Quinde

View

Download (PDF)

Tags: Computer science, nVidia, OpenCL, Programming techniques, Tesla C2070, Tesla T10, Thesis

June 6, 2013 by hgpu

Automating elimination of idle functions by run-time reconfiguration

Xinyu Niu, Thomas C. P. Chau, Qiwei Jin, Wayne Luk, Qiang Liu

View

Download (PDF)

Tags: Computer science, CUDA, FPGA, nVidia, Performance, Tesla C2070

June 6, 2013 by hgpu

Efficient Execution of AMR Computations on GPU Systems

Hari K. Raghavan

View

Download (PDF)

Tags: Computer science, CUDA, Finite difference, Numerical simulation, nVidia, Tesla C2070, Tesla S1070, Thesis, Visualization

June 4, 2013 by hgpu

GPU-accelerated generation of correctly-rounded elementary functions

Pierre Fortin, Mourad Gouicem, Stef Graillat

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Elementary functions, nVidia, Tesla C2070

June 2, 2013 by hgpu

Performance Tradeoff Spectrum of Integer and Floating Point Applications

M.G.B. Johnson, D. P. Playne, K.A. Hawick

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Performance, Tesla C2050, Tesla C2070

May 30, 2013 by hgpu

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Leonardo Jero

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, nVidia, nVidia GeForce GT 640, OpenCL, Security, Tesla C2050, Tesla C2070, Thesis

May 28, 2013 by hgpu

Solving Linear Equations with Conjugate Gradient Method on OpenCL Platforms

Caner Sayin

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla C2050, Tesla C2070, Thesis

May 20, 2013 by hgpu

An implementation of level set based topology optimization using GPU

D. Herrero, J. Martinez, P. Marti

View

Download (PDF)

Tags: Computational Complexity, CUDA, Data parallelism, FEM, Finite element method, Image processing, nVidia, Tesla C2070

May 19, 2013 by hgpu

Extended Data Collection: Analysis of Cache Behavior and Performance of Different BVH Memory Layouts for Tracing Incoherent Rays

Andre Schulz, Sven Widmer, Dominik Wodniok, Michael Goesele

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Raytracing, Tesla C2070, Tesla K20, Visualization

May 16, 2013 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Auto-Tunning of Data Communication on Heterogeneous Systems

Parallelizing General Histogram Application for CUDA Architectures

GPU-Optimized Hybrid Neighbor/Cell List Algorithm for Coarse-Grained Molecular Dynamics Simulations

Parallelization & checkpointing of GPU applications through program transformation

Automating elimination of idle functions by run-time reconfiguration

Efficient Execution of AMR Computations on GPU Systems

GPU-accelerated generation of correctly-rounded elementary functions

Performance Tradeoff Spectrum of Integer and Floating Point Applications

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Solving Linear Equations with Conjugate Gradient Method on OpenCL Platforms

An implementation of level set based topology optimization using GPU

Extended Data Collection: Analysis of Cache Behavior and Performance of Different BVH Memory Layouts for Tracing Incoherent Rays

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)